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Siddiqui, Mustaqeem A

Mayo Clinic

1 Mayo Clinic, Rochester, MN.

Citations 4

Enhancing the R‐ISS classification of newly diagnosed multiple myeloma by quantifying circulating clonal plasma cells
Gonsalves, Wilson I. , Jevremović, Dragan , Nandakumar, Bharat , Dingli, David , Lacy, Martha Q. , Hayman, Suzanne R. , Kapoor, Prashant , Leung, Nelson , Fonder, Amie , Hobbs, Miriam, Hwa, Yi L. , Muchtar, Eli , Warsame, Rahma , Kourelis, Taxiarchis , Russell, Stephen J. , Lust, John A., Lin, Yi , Siddiqui, Mustaqeem , Kyle, Robert A. , Kumar, Shaji , Dispenzieri, Angela , Leung, Nelson , Hwa, Yi Lisa, Warsame, Rahma , Kourelis, Taxiarchis , Russell, Stephen, Siddiqui, Mustaqeem A, Gertz, Morie A , Rajkumar, S Vincent , Muchtar, E , Gonsalves, Wilson , Russell, Stephen J , Jevremovic, Dragan , Siddiqui, Mustaqeem A , Dingli, David , Lin, Yi , Dispenzieri, Angela , Buadi, Francis K. , Go, Ronald S. , Gertz, Morie A. , Rajkumar, S. Vincent

American Journal of Hematology | December 23, 2019 | Volume: 95 | Issue: 3 | Pages: 310-315

10.1002/ajh.25709 Get It

AbstractOur prior studies identified the prognostic significance of quantifying cPCs by multiparametric flow cytometry (MFC) in newly diagnosed multiple myeloma (NDMM) patients. We evaluated if a similar quantification of cPCs could add prognostic value to the current R‐ISS classification of 556 consecutive NDMM patients seen at the Mayo Clinic, Rochester from 2009 to 2017. Those patients that had ≥5 cPCs/μL and either R‐ISS stage I or stage II disease were re‐classified as R‐ISS IIB stage for the purposes of this study. The median time to next therapy (TTNT) and overall survival (OS) for patients with ≥5 cPCs/μL at diagnosis was as follows: R‐ISS I (N = 110) ‐ 40 months and not reached; R‐ISS II (N = 69) ‐ 30 and 72 months; R‐ISS IIB (N = 96) ‐ 21 and 45 months and R‐ISS III (N = 281) ‐ 20 and 47 months respectively. Finally, ≥ 5 cPCs/μL retained its adverse prognostic significance in a multivariable model for TTNT and OS. Hence, quantifying cPCs by MFC can potentially enhance the R‐ISS classification of a subset of NDMM patients with stage I and II disease by identifying those patients with a worse than expected survival outcome.
Prevalence and survival of smouldering Waldenström macroglobulinaemia in the United States
Pophali, Priyanka A. , Bartley, Adam C. , Kapoor, Prashant , Gonsalves, Wilson I. , Ashrani, Aneel A. , Marshall, Ariela L. , Siddiqui, Mustaqeem , Kyle, Robert A. , Bartley, Adam, Siddiqui, Mustaqeem A, Gonsalves, Wilson , Marshall, Ariela , Siddiqui, Mustaqeem A , Pophali, Priyanka , Go, Ronald S.

British Journal of Haematology | March 15, 2018 | Volume: 184 | Issue: 6 | Pages: 1014-1017

10.1111/bjh.15201 Get It

Sex-based disparities in venous thromboembolism outcomes: A National Inpatient Sample (NIS)-based analysis
Marshall, Ariela L. , Bartley, Adam C. , Ashrani, Aneel A. , Pruthi, Rajiv K. , Durani, Urshila , Kapoor, Prashant , Hashmi, Shahrukh K. , Siddiqui, Mustaqeem , Siddiqui, Mustaqeem A, Gonsalves, Wilson I. , Go, Ronald S. , Marshall, Ariela , Siddiqui, Mustaqeem A , Durani, Urshila

Vascular Medicine | March 20, 2017 | Volume: 22 | Issue: 2 | Pages: 121-127

10.1177/1358863x17693103 Get It

Venous thromboembolism (VTE) contributes to significant morbidity, mortality, and socioeconomic burden. There is a paucity of literature regarding sex-based sociodemographic differences in VTE presentation and short-term outcomes. We aimed to compare clinical outcomes between men and women hospitalized for VTE management. We performed a retrospective analysis using data from the National Inpatient Sample (NIS) database from 2012 to 2013. Inclusion criteria were age 18 years and older and a primary discharge diagnosis of VTE. Sociodemographic features and medical comorbidities were analyzed, as were hospital length of stay and in-hospital mortality rates. A total of 107,896 patients met the inclusion criteria; 53% were female. Median age was 65 years (interquartile range 51–77) and women were older than men (65 vs 62 years, p<0.001). There were significant differences between men and women with respect to race, primary insurance payer and medical comorbidities, and small differences with respect to VTE location. Female sex was associated with a small but significantly longer hospital length of stay (mean ratio 1.04, 95% CI 1.03–1.05, p<0.001) but no significant difference in in-hospital mortality (2.2% vs 2.1%, p=0.15). In a multivariate model, there was no significant difference between women and men with respect to hospital length of stay or in-hospital mortality. In conclusion, we used data from the NIS to study over 100,000 patients hospitalized for VTE, and identified several sex-based disparities in sociodemographic factors and location of VTE. However, in a multivariable analysis correcting for these factors, sex was not associated with significant differences in clinical outcomes.
Risk Factors for Readmission in Patients With Cancer Comanaged by Hospitalists
Shapiro, Joshua S., Humeniuk, Michael, Siddiqui, Mustaqeem , Bonthu, Neelima, Schroeder, Darrell R. , Kashiwagi, Deanne T. , Siddiqui, Mustaqeem A, Siddiqui, Mustaqeem A , Schroeder, Darrell

American Journal of Medical Quality | August 26, 2016 | Volume: 32 | Issue: 5 | Pages: 526-531

10.1177/1062860616665904 Get It

Little is known about which variables put patients with cancer at risk for 30-day hospital readmission. Comanagement of this often complex patient population by specialists and hospitalists has become increasingly common. This retrospective study examined inpatients with cancer comanaged by hospitalists, hematologists, and oncologists to determine the rate of readmission and factors associated with readmission. Patients in this cohort had a readmission rate of 23%. Patients who were discharged to a skilled nursing facility (odds ratio [OR] = 0.34) or hospice (OR = 0.11) were less likely to have 30-day readmissions, whereas patients who had surgery (OR = 3.16) during their index admission were more likely. Other factors, including patient demographics, cancer types, and hospitalization interventions and events, did not differ between patients who were readmitted and those who were not. These findings contribute to a growing body of literature identifying risk factors for readmission in medical oncology and hematology patients.